LLM ReferenceLLM Reference

Llama 2 7B Chat

Open Source

About

The Llama 2 7B Chat model is a fine-tuned variant of Meta's Llama 2 series, optimized for conversational AI applications. Built on an auto-regressive transformer architecture, it boasts 7 billion parameters and has been trained on a diverse dataset of 2 trillion tokens. The model underwent supervised fine-tuning and reinforcement learning with human feedback to enhance its performance in dialogue scenarios. It demonstrates competitive capabilities in terms of helpfulness and safety compared to both open-source and closed-source alternatives like ChatGPT and PaLM. Designed for commercial and research use, particularly in English language tasks, it's well-suited for developing chatbots, virtual assistants, and other interactive AI systems. More details can be found on its Hugging Face page .

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured OutputsCode Execution

Providers(10)

Compare all →
ProviderInput (per 1M)Output (per 1M)Type
Alibaba Cloud PAI-EASServerless
Baseten APIServerless
Fireworks AI$0.20$0.20Provisioned
Microsoft Foundry$0.52$0.67ServerlessProvisioned
GCP Vertex AIServerless
Cloudflare Workers AIServerless
DeepInfra$0.07$0.07Serverless
Lepton AI API$0.07$0.07Serverless
Together AI$0.2$0.2Serverless
Replicate API$0.05$0.25Serverless

Rankings

Specifications

FamilyLlama 2
Released2023-07-18
Parameters7B
Context4K
ArchitectureDecoder Only
Specializationgeneral
Trainingfinetuning

Created by

Large-scale open-source AI for social technologies.

Menlo Park, California, United States
Founded 2013
Website